Results 21 to 30 of about 1,855 (186)

Aerodynamic lift coefficient prediction of supercritical airfoils at transonic flow regime using convolutional neural networks (CNNs) and multi-layer perceptions (MLPs)

Al-Qadisiyah Journal for Engineering Science, 2023
Designing an aircraft involves a lot of stages, however, airfoil selection remains one of the most crucial aspects of the design process. The type of airfoil chosen determines the lift on the aircraft wing and the drag on the aircraft fuselage.
Olalekan Adebayo Olayemia, Oluwadolapo Isaac Salakoa, Abdulbaqi Jinadu a, Adebowale Martins Obalalu b, Benjamin Elochukwu Anyaegbuna c   +4 more
doaj   +1 more source

Experiment / simulation integrated shape optimization using variable fidelity Kriging model approach

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2017
An attempt of experiment / simulation integrated design optimization is performed for the blade airfoil shape of a vertical axis wind turbine. A variable fidelity Kriging surrogate model approach is utilized in this integrated design optimization, in ...
Wataru YAMAZAKI
doaj   +1 more source

Numerical Study of Variable Camber Continuous Trailing Edge Flap at Off-Design Conditions

Energies, 2019
Numerical simulations are performed to study the outboard airfoil of advanced technology regional aircraft (ATRA) wings with five different variable camber continuous trailing edge flap (VCCTEF) configurations. The computational study aims to improve the
Mohammed Abdul Raheem, Prasetyo Edi, Amjad A. Pasha, Mustafa M. Rahman, Khalid A. Juhany   +4 more
doaj   +1 more source

Parametric research and aerodynamic performance analysis of wind turbine airfoil with added flap

AIP Advances, 2022
A self-popped up flap is added to the airfoil (S809) suction surface to improve aerodynamic performance under large angle of attack (AOA) inspired by the slightly popped up feathers on the trailing edge of a bird’s wing. The response surface methodology (
Qimin Ma, Jiahao Wang, Yang Zhang, Xiaomin Liu   +3 more
doaj   +1 more source

The effects of surface modification on aerodynamic characteristics of airfoil DU 06 W 200 at low Reynolds numbers,

International Journal of Thermofluids, 2022
In this paper the flow characteristics and velocity fields over the vertical axis wind turbines DU 06 W 200 airfoil developed by Delft University of Technology and some other innovative designs are examined by computational fluid dynamics (CFD ...
Omid Ali Zargar, Tee Lin, Andrew Gare Zebua, Ting-Jun Lai, Yang-Cheng Shih, Shih-Cheng Hu, Graham Leggett   +6 more
doaj   +1 more source

Investigation of Airfoil Design and Analysis

International Journal for Research in Applied Science and Engineering Technology, 2022
Abstract: In this project “Aerofoil Design and Analysis” an attempt has made to make a complete study on lift and drag coefficient of various aerofoil sections using CFD. The primary goal of this project is to learn and analyse the aerodynamic performance of wings.
Sundram ., Rahul Kumar
openaire   +1 more source

Multimodal Locomotion in Insect‐Inspired Microrobots: A Review of Strategies for Aerial, Surface, Aquatic, and Interfacial Motion

Advanced Robotics Research, EarlyView.
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska, Kaushik Jayaram, Nicole Xu   +2 more
wiley   +1 more source

Graph Neural Networks for Airfoil Design

CoRR, 2023
The study of partial differential equations (PDE) through the framework of deep learning emerged a few years ago leading to the impressive approximations of simple dynamics. Graph neural networks (GNN) turned out to be very useful in those tasks by allowing the treatment of unstructured data often encountered in the field of numerical resolutions of ...
openaire   +2 more sources

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Airfoil-DDPM: A non-parametric diffusion-based framework for airfoil generation

Kongqi donglixue xuebao
Accurate and flexible geometric parameterization is a cornerstone of modern aerodynamic design and optimization. While recent advances in generative modelling have improved airfoil design workflows by learning latent representations, most existing ...
Pin Wu, Zekai Tu, Yutong Wang, Zhu Zhou, Jiaqi Yang   +4 more
doaj   +1 more source